Connect with us

AI Insights

Artificial Intelligence in Epidemiology Market Size, Share

Published

1 month ago

on


According to a new report by InsightAce Analytic, the “Artificial Intelligence in Epidemiology Market Size is valued at 475.63 Million in 2024 and is predicted to reach 5271.80 Million by the year 2034 at an 27.4% CAGR during the forecast period for 2025-2034.

Request For Free Sample Pages:

https://www.insightaceanalytic.com/request-sample/1450

Latest Drivers Restraint and Opportunities Market Snapshot:

Key factors influencing global artificial intelligence in the epidemiology market are:

• Big data handling

• Early detection and surveillance

• Predictive modeling

The following are the primary obstacles to artificial intelligence in the epidemiology market’s expansion:

• Data quality and bias

• Ethical concern

• Dynamic nature of the disease

Future expansion opportunities for the global artificial intelligence in epidemiology market include:

• Earl’s detection of disease outbreaks

• Precision epidemiology

• Integration with the healthcare system

Market Analysis:

Artificial intelligence can be used to detect and track disease outbreaks by monitoring real-time health data, including social media, online searches, and electronic health records. This can provide timely insight into health risks. AI-based predictive models use machine learning algorithms to analyze various data sources and predict disease prevalence. These models help health officials and policymakers plan and implement targeted interventions. Thus, driving the market expansion.

List of Prominent Players in the Artificial Intelligence in Epidemiology Market:

• IBM Corporation

• Google Health

• Microsoft Healthcare

• Amazon web service

• IQVIA

• SAS institute

• Oracle health science

• Palantir tech

• Kinsa health

• Bluedot

• Epidemic

• Health map

Recent Developments:

• September 13, 2022: The National Institutes of Health (NIH) has begun investing $130 million over four years to accelerate the adoption of artificial intelligence (AI) in science and behavioral research.

• August 30, 2022: Penn Medicine and The Children’s Hospital of Philadelphia (CHOP) have established the Penn-CHOP Kidney Innovation Center to fund research aimed at improving patient care for both adults and adolescents with kidney injury.

• November 7, 2022: The University at Albany has announced plans to hire a record 27 new faculty members focused on artificial intelligence, kicking off the university’s ambitions to integrate AI training and development across all departments.

Artificial Intelligence in Epidemiology Market Dynamics:

Market Drivers: Data Processing And Analysis

The integration of artificial intelligence (AI) in epidemiology is transforming the way large and complex data sets-including electronic health records, genomic data, and social determinants of health-are processed and analyzed. AI-driven tools allow epidemiologists to identify patterns, trends, and correlations within vast amounts of health data, improving disease surveillance. Additionally, AI enhances real-time health monitoring, enabling early detection and rapid response to disease outbreaks.

Curious about this latest version of the report? @ https://www.insightaceanalytic.com/enquiry-before-buying/1450

Challenges: Data Quality And Bias

The effectiveness of AI in epidemiology heavily depends on the quality, completeness, and representativeness of the data used to train models. Incomplete or biased datasets can compromise accuracy, leading to misleading predictions and potential disparities in public health responses. Another major concern is the lack of transparency in AI decision-making, particularly in deep learning models, which are often viewed as “black box” systems.

North America Is Expected To Grow With The Highest CAGR During The Forecast Period

The use of artificial intelligence (AI) in epidemiology in North America has been impressive, with several initiatives, collaborations, and research efforts focused on using AI technology for public health. North America, particularly the United States and Canada, is home to many leading research institutions and universities in AI and epidemiology research. These labs collaborate on projects to develop artificial intelligence-based tools for disease surveillance, outbreak prediction, and data analysis. Healthcare in North America is increasingly using AI technologies for a variety of applications, including epidemiology.

Hospitals, health systems, and research institutions in the region are exploring how AI can improve disease detection, diagnosis, and treatment planning. North American public health agencies such as the US Centers for Disease Control and Prevention (CDC) and the Public Health Agency of Canada are actively participating in the use of AI for disease surveillance and response. This agency plays an important role in monitoring and controlling the spread of infectious diseases. Several North American technology companies and startups are actively contributing to the development of AI tools for epidemiology. This includes integrating artificial intelligence into health analytics platforms, wearables and other solutions that support healthcare efforts.

Get Specific Chapter/Information From The Report:

https://www.insightaceanalytic.com/customisation/1450

Segmentation of Artificial Intelligence in Epidemiology Market-

By Deployment

• Cloud-based

• Web-based

By Application

• Infection Prediction and Forecasting

• Disease and Syndromic Surveillance

By End-user

• Government and State Agencies

• Research Labs

• Pharmaceutical and Biotechnology Companies

• Healthcare Providers

By Region-

North America-

• The US

• Canada

• Mexico

Europe-

• Germany

• The UK

• France

• Italy

• Spain

• Rest of Europe

Asia-Pacific-

• China

• Japan

• India

• South Korea

• Southeast Asia

• Rest of Asia Pacific

Latin America-

• Brazil

• Argentina

• Rest of Latin America

Middle East & Africa-

• GCC Countries

• South Africa

• Rest of Middle East and Africa

Get More Information: @

https://www.insightaceanalytic.com/report/global-artificial-intelligence-in-epidemiology-market/1450

About Us:

InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain a competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets, and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.https://www.insightaceanalytic.com/images_data/148861653.

Contact Us:

info@insightaceanalytic.com

InsightAce Analytic Pvt. Ltd.

Visit: www.insightaceanalytic.com

Tel : +1 607 400-7072

Asia: +91 79 72967118

Follow Us on LinkedIn @ bit.ly/2tBXsgS

Follow Us On Facebook @ bit.ly/2H9jnDZ

Twitter: https://twitter.com/Insightace

This release was published on openPR.





Source link

Related Topics:
Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

AI Insights

Mistral AI (hereinafter referred to as Mistral), a leading artificial intelligence (AI) startup in F..

Published

1 hour ago

on

September 4, 2025

By


European version of open AI, Mistral AI enterprise value jumps to €12 billion

Mistral AI Logo

Mistral AI (hereinafter referred to as Mistral), a leading artificial intelligence (AI) startup in France, is speeding up its investment financing.

According to Bloomberg News on the 4th (local time), Mistral is valued at about 12 billion euros (about 19.5 trillion won) in corporate value and is nearing the end of negotiations on new financing worth 2 billion euros (about 3.24 trillion won).

Mistral is a company established in 2023 by Artur Mensch and others from Google DeepMind and is considered a European AI alternative company against OpenAI and Anthropic in the United States.

Until now, Mistral has grown its presence by releasing an open-source language model and a chatbot “Le Chat” aimed at European users.

The company secured an investment of about 600 million euros from Samsung and Nvidia in June last year, with an enterprise value of 5.8 billion euros at the time. The investment is the first since then.

Bloomberg evaluated the investment, saying, “This solidifies Mistral’s position as one of the most valuable technology startups in Europe.”

In addition to the mistral, major AI companies have recently aggressively raised funds despite the AI bubble controversy, heating up investment.

OpenAI secured an investment of $40 billion in March this year, and Anthropic, called OpenAI’s rival, recently attracted $13 billion in funds, jumping to $183 billion in corporate value. The figure nearly tripled in just five months.

Meanwhile, OpenAI is also seeking to sell its holdings of current and former employees. According to CNBC, the amount of stock sales by employees has expanded from $6 billion to $10.3 billion, and OpenAI’s corporate value is expected to be valued at about $500 billion at the end of October, when the transaction is completed. At the time of OpenAI’s investment attraction in March, the enterprise value was about $300 billion.



Source link

Continue Reading

AI Insights

‘Just blame AI’: Trump hints at using artificial intelligence as shield for controversies

Published

2 hours ago

on

September 4, 2025

By


US President Donald Trump has suggested that artificial intelligence could become a convenient scapegoat for political controversies, raising concerns about how the technology might be used to deflect accountability.

Speaking at the White House this week, Trump was asked about a viral video that appeared to show a bag being tossed out of a window at the presidential residence. Although officials had already explained it was routine maintenance, Trump dismissed the clip by saying: “That’s probably AI-generated.” He added that the White House windows are sealed and bulletproof, joking that even First Lady Melania Trump had complained about not being able to open them for fresh air.

But Trump went further, framing AI as both a threat and an excuse. “One of the problems we have with AI, it’s both good and bad. If something happens really bad, just blame AI,” he remarked, hinting that future scandals could be brushed aside as artificial fabrications.

This casual dismissal reflects a growing trend in Trump’s relationship with AI. In July, he reposted a fabricated video that falsely depicted former President Barack Obama being arrested in the Oval Office. He also admitted to being fooled by a machine-made life-long video montage of himself, from childhood to the present day.

Experts warn that as deepfake technology becomes increasingly sophisticated, it could destabilise politics by eroding public trust in what is real. If leaders begin to label inconvenient evidence as AI-generated, whether true or not, the result could be a dangerous precedent where accountability becomes optional and facts are endlessly disputed.

For Trump, AI appears to represent both risk and opportunity. While he acknowledges its ability to create “phony things,” he also seems to see it as a ready-made shield against future controversies. In his own words, the solution may be simple: “just blame AI.”



Source link

Continue Reading

AI Insights

Switzerland developed its own artificial intelligence model Apertus – Telegraph

Published

2 hours ago

on

September 4, 2025

By


A new player has emerged in the artificial intelligence race, as Switzerland unveiled Apertus, its national open-source Large Language Model (LLM), which it hopes will be an alternative to models offered by companies like OpenAI.

Advertisement Apertus is a Latin word meaning “open” and was developed by the Swiss Federal Institute of Technology in Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Center (CSCS), which are public institutions.

“Currently, Apertus is the leading public AI model, developed by public institutions in the public interest. It is our best proof yet that AI can be a form of public infrastructure like highways, water or electricity,” said Joshua Tan, a leading proponent of turning AI into public infrastructure.

The Swiss institutions designed Apertus to be completely open, allowing users to review every part of its training process. In addition to the model itself, they have published comprehensive documentation and source code of its training process, as well as the datasets they used.

Apertus was developed in compliance with Swiss data protection and copyright laws, making it perhaps one of the best choices for companies that want to comply with European regulations.

Anyone can use the new model. Researchers, hobbyists, and even companies are welcome to use it and adapt it to their needs. They can use it to create chatbots, translators, and even educational or training tools. Apertus has been trained on 15 trillion tokens in more than 1000 languages, of which 40 percent of the data is in languages ​​other than English, including Swiss German and Romansh.

It should be noted that artificial intelligence companies like Perplexity have previously been accused of downloading content from websites and bypassing protocols intended to block their browsers.

Several artificial intelligence companies have also sued news organizations and creators for using their content to train their models without permission.

Apertus is currently available in two sizes, with 8 billion and 70 billion parameters. It is currently available through Swisscom, a Swiss information and communications technology company, or through Hugging Face. /Telegraph/





Source link

Continue Reading

Trending